Karnataka innovative ecosystem for students who wish to study AI/ML, which is an emerging career field in the computer science discipline. Students are increasingly choosing AI (artificial intelligence) and ML (machine learning) as career paths, and to fulfil their dream careers, here are some top AI and ML colleges in Karnataka through KCET Scores.
There are many engineering colleges in Karnataka that offer AI & ML courses. But choosing the right college for admission is important. While choosing a college, students must check its NIRF ranking, AICTE-approved courses, placement records, and more. But you don't have to worry about it, we have provided the complete list of top AI&ML colleges in Karnataka that accept KCET scores for admission.
The Karnataka Examinations Authority has released KCET 2025 counselling dates. The last date for choice filling is July 18. Mock allotment result will be OUT on July 21.
In this article, we have provided the list of top AI & ML colleges accepting KCET scores, including their cutoff, fee structure, and placement, to help students in selecting a college for admission.
KCET 2025 counselling has started, and the option entry link with the provisional seat matrix has been released. The last date to submit the choices is July 15. The final seat matrix has been released along with the verification slip. Read more: KCET counselling 2025 process, step-by-step guide, etc.
Latest Updates:
- KCET 2025 Counselling Dates Revised: Check new option entry and seat allotment schedule
- KCET 2025 option entry link activated at cetonline.karnataka.gov.in
- KCET 2025 final seat matrix released at cetonline.karnataka.gov.in
Top AI and ML Colleges accepting KCET Scores for Admissions: Cutoff, Fees, and placement packages
| College Name | Last Round Cutoff (as per 2024) | Fees (as per last year) | Placement package |
|---|---|---|---|
| MS Ramaiah Institute of Technology | 4243 | INR 107000 - 115000 | 7.5 to 48 LPA |
| BMS College of Engineering | 4835 | 42866 - 115000 |
10 to 33 LPA |
| UVCE (Government College) | 7157 | 42866 | N/A |
| Dayanand Sagar College of Engineering | 7404 | 107000 - 115000 | 5 to 56 LPA |
| Bangalore Institute of Technology | 9152 | 107000 - 115000 | 10-58 LPA |
| BMS Institute of Technology and Management | 16017 | 107000 - 115000 | 7 to 10.6 LPA |
| BNM Institute of Technology | 18000 | 107000 - 115000 | 6 to 28 LPA |
| New Horizon College of Engineering | 20238 | 107000 - 115000 | 48.5 LPA (highest) |
| SDM College of Engineering and Science | 21518 | 107000 - 115000 | 6.59 to 44 LPA |
| Sir M.Visveswaraya Institute of Technology (SMVIT) | 21795 | 107000 - 115000 | 16 LPA |
| Colleges for BTech in artificial intelligence and machine learning | |||
| PES University (Ring Road Campus), Bangalore | 3119 |
107000 - 115000 | 65 LPA |
| PES University (Electronic City), Bangalore | 8522 | 107000 - 115000 | 65 LPA |
| Reva University, Bangalore | 24012 | 107000 - 115000 | 48 LPA |
| Dayanand Sagar University | 33987 | 107000 - 115000 | 35 LPA |
| Presidency University | 35733 | 107000 - 115000 | 13.58 LPA |
| Colleges for BTech in CSE: Artificial Intelligence and Machine Learning | |||
| RV College of Engineering | 888 | 107000 - 115000 | 15 to 56 LPA |
| MSRIT | 3963 | 107000 - 115000 | 7 to 48 LPA |
| NIE (North Campus) | 11312 |
107000 - 115000 | 70 LPA |
| SIT Tumkur | 12835 | 107000 - 115000 | 9 to 34 LPA |
| RNS Institute of Technology | 18002 | 107000 - 115000 | 46 LPA |
| KLS Gogte Institute of Technology | 18858 | 107000 - 115000 | 6 to 54 LPA |
| CMR Institute of Technology | 20739 | 107000 - 115000 | 6 to 23 LPA |
| JSS Academy of Technical Education, Bangalore | 24476 | 107000 - 115000 | 43 LPA (highest) |
| Vidya Vardhaka College of Engineering, Mysore | 26143 | 107000 - 115000 | 41.5 LPA |
| Sahhyadri College of Engineering and Management, Mangalore | 26143 | 107000 - 115000 | 6.3 LPA to 43.7 LPA |
| Malnad College of Engineering, Hassan | 33860 | 107000 - 115000 | 20 LPA |
| PES College of Engineering, Mandya | 35904 | 107000 - 115000 | 4.5 to 14.5 LPA |
| Global Academy of Technology, Bangalore | 36469 | 107000 - 115000 | 4 to 22 LPA |
| B.Tech in artificial intelligence and machine learning | |||
| MS Ramaiah University of Applied Sciences, Bangalore | 21552 | 107000 - 115000 | 52 LPA (highest package) |
| Alliance University, Bangalore | 32329 | 107000 - 115000 | 8 to 60 LPA |
Also read:
How to use your KCET scores to choose the right KCET 2025 AI/ML College?
Here is a guide with which candidates can use their KCET 2025 rank/scores to select the right AI/ML KCET colleges -
- Check your KCET rank and category (GM/OBC/SC).
- Match your target rank with opening and closing cutoffs (Round 1 data gives a clear guide).
- Consider location and infrastructure – Bengaluru offers more exposure but also requires higher ranks.
Check the Shiksha KCET 2025 college predictor to check where chances.
Why have AI and ML become a popular choice among today’s youth?
Here are some reasons why AI and ML have become a popular choice in Karnataka -
1. Explosive Industry Growth
AI and ML are no longer futuristic concepts—they’re now powering real-world applications in healthcare, finance, retail, gaming, entertainment, cybersecurity, and more. The AI industry is projected to reach over $1.8 trillion by 2030. Job roles like AI engineer, data scientist, and ML developer are growing at 30 to 40% annually.
2. High-Paying Jobs
A B.Tech graduate in AI & ML average salary in India is around 8 to 12 LPA. While an experienced holder grabs a package of 30-50 LPA or even more globally.
3. Versatile Career Paths
AI and ML aren't restricted to one domain. Students can enter fields such as:
-
Healthcare AI (disease prediction, diagnostics)
-
Finance (fraud detection, risk modelling)
-
Retail (recommendation systems, dynamic pricing)
-
Gaming and AR/VR, self-driving cars, climate modelling, and more
4. Seamlessly Bends with other Tech Trends
AI/ML blends seamlessly with hot domains like:
-
Data Science
-
IoT (Internet of Things)
-
Blockchain
-
Cybersecurity
-
Cloud Computing
This creates cross-functional opportunities and career flexibility.
5. Global Relevancy
AI&ML are is high demand globally. A graduate or diploma holder in AI & ML can work in top global firms like Google, Microsoft, Meta, OpenAI, etc. They are the future of the modern science. This course provides career growth, an increase in salary, and intellectual satisfaction.
Also read:

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Yes, the COMEDK and KCET syllabus is largely the same. The COMEDK syllabus and the KCET syllabus include topics from classes 11th and 12th. For COMEDK 2026, the syllabus is based on the CBSE curriculum and for KCET, it is based on the PUC syllabus. Candidates must check the official syllabus for bot
S
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Candidates belonging to the OBC category (2A, 2B, 3A, 3B) collectively has a 27% reservation in KCET.
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For KCET exam, scheduled castes (SC) have a 15% reservation, while Scheduled Tribes (ST) are allocated 7.5% of seats.
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Although taking KCET mock tests are not mandatory, it is a great way to practice. The mock tests give candidates an idea about look and feel of the exam.
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To get a top college in KCET a score of 160+ marks out of 180 is generally considered good. This score will help students secure a top rank in top institutes.
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To prepare for Mathematics effectively, it is important to practice mental math and use short-cut tricks for topics like Probability, Integrals, and Vector 3D.
M
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Some of the high-weightage topics in KCET are - d and f Block Elements, Alcohols, Phenols, Ethers, and Chemical Kinetics.
L
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Physics is one of the high scoring subjects in KCET. Covering KCET in 60 days is not a daunting task. Focus on high-weightage topics like Thermodynamics and Optics, and complete at least one full revision in 16 days.
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Yes, candidates can crack the KCET exam by utilizing NCERT books, online resources, and giving regular mock tests. There are many students who have found success formal coaching.
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Yes, solving PYQs helps understand paper pattern, weightage, and improves time management.
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